Abstract
Until now, the contribution of world knowledge to the process of pronominal anaphora resolution has not received a thorough computational investigation, mostly due to the lack of a large scale implemented model of world knowledge. This paper proposes Latent Semantic Analysis (LSA) as such a model: word meaning representation it constructs can be used to rank potential antecedents according to how well they fit in the pronoun’s context. The initial results of incorporating LSA into a pronominal anaphora resolution algorithm are encouraging.
The work was carried out when both authors were at the University of Edinburgh
Restrictions that verbs place on their objects, eg. eat requires an edible object
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Klebanov, B., Wiemer-Hastings, P. (2002). Using LSA for Pronominal Anaphora Resolution. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_17
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DOI: https://doi.org/10.1007/3-540-45715-1_17
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